Date of Award
3-2018
Document Type
Open Access
Degree Name
Bachelor of Arts
Department
Economics
First Advisor
Shelton Schmidt
Second Advisor
Tomas Dvorak
Language
English
Keywords
baseball, major league baseball, economics, sports economics, sports, free agency, free agent market, player valuation, statistics, sabermetrics
Abstract
Statistical analysis has transformed the way front offices across Major League Baseball manage the rosters of their teams. However, much of this statistical analysis is limited to evaluating players playing in the American major league environment. Little has been done in the way of using statistical analysis to evaluate how performance translates from league-to-league, and the market for international and college players remains highly inefficient, despite expansion of these player pools. My study is an attempt to make this market a more efficient one.
I measure the correlation between performance in two top international baseball leagues (Nippon Professional Baseball and the Korean Baseball Organization) as well as America’s top amateur league (the NCAA) and performance in Major League Baseball. I am studying three performance metrics for both batters and pitchers: strikeout rate, walk rate, and home run rate. I find that these metrics in the foreign and amateur leagues studied account for little of the variation in Major League performance. However, the predictive power of foreign league statistics is not significantly lower than the predictive power of past performance in the MLB, indicating predicting player performance is a difficult task.
Recommended Citation
Vogt, Ian, "Does Player Performance Outside of Major League Baseball Translate to the MLB?" (2018). Honors Theses. 1664.
https://digitalworks.union.edu/theses/1664
Extra Data.R (7 kB)
Thesis Regressions.R (6 kB)
MLB on MLB Analysis.R (7 kB)
ZiPS Analysis.R (6 kB)
Included in
Econometrics Commons, Labor Economics Commons, Other Economics Commons, Sports Studies Commons